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A Scheme for Robust Distributed Sensor Fusion Based on Average Consensus
Scheme Robust Distributed Sensor Fusion Based Average Consensus
2015/7/10
We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a simple distributed iterati...
End-User Perceptions of Intelligence Dissemination from a State Fusion Center
intelligence fusion center information sharing policing
2014/11/27
This research examines end-user perceptions of an intelligence product disseminated from a state fusion center in the Northeast region of the United States. The current literature suffers from an empi...
The Intelligence Fusion Process for State, Local and Tribal Law Enforcement
law enforcement intelligence terrorism fusion centers
2014/11/26
Intelligence fusion centers have grown rapidly in the last few years as state, local, and tribal law enforcement agencies have attempted to find the best way to share information about threats to thei...
Sequential testing over multiple stages and performance analysis of data fusion
Sequential testing over multiple stages performance analysis data fusion
2013/4/28
We describe a methodology for modeling the performance of decision-level data fusion between different sensor configurations, implemented as part of the JIEDDO Analytic Decision Engine (JADE). We firs...
PAC-Bayesian Majority Vote for Late Classifier Fusion
Machine Learning Multimedia fusion Multi-modality search Ranking and re-ranking
2012/9/18
A lot of attention has been devoted to multimedia indexing over the past few years. In the literature, we often consider two kinds of fusion schemes: Theearly fusionand thelate fusion. In this paper w...
Definition of evidence fusion rules on the basis of Referee Functions
Evidence Referee Function Sampling Dempster-Shaferrule PCR6
2010/3/19
This chapter defines a new concept and framework for constructing
fusion rules for evidences. This framework is based on a referee function, which
does a decisional arbitrament conditionally to basi...
Application of probabilistic PCR5 Fusion Rule for Multisensor Target Tracking
Filtering Robust estimation non-Bayesian fusion rule PCR5 Particle filtering
2010/4/30
This paper defines and implements a non-Bayesian
fusion rule for combining densities of probabilities estimated
by local (non-linear) filters for tracking a moving target by
passive sensors. This r...